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Quality of Experience in Cloud services: Survey and measurements
Affiliation:1. School of Computer Science, University of Guelph, Guelph, Ontario, Canada;2. Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal;1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 10 Xi Tu Cheng Road, 10086 Beijing, China;2. Department of Computer Science and Engineering, Michigan State University, 2132 Engineering Building, East Lansing, MI 48824-1226, United States;1. Department of Information Technology, Ghent University–iMinds, Gaston Crommenlaan 8/201, B-9050 Ghent, Belgium;2. Department of Computer Science and Electrical Engineering, University of Twente, Drienerlolaan 5, NL-7522 Enschede, The Netherlands;3. Department of Mathematics and Computer Science, University of Antwerp, Middelheimlaan 1, B-2020 Antwerp, Belgium
Abstract:Cloud-based systems are gaining enormous popularity due to a number of promised benefits, including ease of use in terms of deployment, administration and maintenance, high scalability as well as flexibility to create new services. However, as more personal and business applications migrate to the Cloud, the service quality becomes an important differentiator between providers, specially in the case of mobile operators. Quality of Experience (QoE) as perceived by the end-user has therefore the potential to become the guiding paradigm for managing quality provisioning and applications’ design in the Cloud. This paper presents the results of several Cloud QoE studies performed for different Cloud-based services, ranging from services with low requirements in terms of latency and interactivity (e.g., Cloud storage systems), multimedia On-Demand services (e.g., YouTube video streaming), communication and telepresence (e.g., Lync Online videoconferencing) to highly interactive services (e.g., Virtual Cloud Desktop). The results of these studies provide a ground truth basis for developing future Cloud services with QoE requirements, as well as for dimensioning the underlying network provisioning infrastructures, particularly with regard to mobile access technologies.
Keywords:Cloud services  Quality of Experience  Subjective lab tests and field trials  MOS  Acceptability  Access network dimensioning
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